MSc Applied Data Science (Ecology and Evolution)

1 Years On Campus Masters Program

University of Exeter

Program Overview

The MSc Applied Data Science (Ecology and Evolution) at the University of Exeter is a one‑year postgraduate degree that equips you with advanced data science skills and mathematical modelling techniques to understand and address complex challenges in ecology, evolution, conservation and biodiversity. It’s a perfect fit for students who love quantitative problem‑solving and want to apply data science in sustainability and life sciences research or sector roles with real‑world impact.

Curriculum Structure

Term 1 – Core Foundations
In your first term you’ll build fundamental expertise with core training in Fundamentals of Data Science, where you deepen your analytical and computational skills, and integrate these techniques with ecological and evolutionary concepts. This term lays the groundwork in real‑world data handling and interpretation, preparing you for advanced methods later in the course.

Term 2 – Advanced Methods and Interdisciplinary Skills
During term two you’ll study Trends in Data Science and AI to explore state‑of‑the‑art data analytics and artificial intelligence, and complete Tackling Sustainability Challenges using Data and Models, an interdisciplinary module that challenges you to apply your skills to real environmental and biological problems. You’ll also take Evolutionary and Behavioural Ecology: Frontiers and Approaches, which deepens your ecological understanding through current research topics.

Term 3 – Independent Project
Your final term focuses on the Data Science and Modelling Dissertation, a substantial independent project where you apply everything you’ve learned to investigate a topic of interest under academic supervision from conservation modelling to evolutionary data analysis. This capstone experience prepares you for either further research or professional roles in data‑driven environmental science.

Focus areas:
Data science fundamentals, ecological and evolutionary modelling, artificial intelligence methods, interdisciplinary sustainability challenges and advanced independent data projects.

Learning outcomes:
Graduates emerge with strong analytical and computational skills, expertise in handling and modelling ecological data, the ability to apply AI tools to real‑world biological systems, and confidence to tackle data‑intensive problems in ecology, conservation and related sectors.

Professional alignment (accreditation):
This programme is designed in collaboration with research leaders from the Environment and Sustainability Institute and the Centre for Ecology and Conservation, giving you research‑informed training highly relevant to careers in environmental science, conservation analytics and related data science fields.

Reputation (employability rankings):
The University of Exeter is ranked Top 20 in the UK for Mathematics (The Times and The Sunday Times Good University Guide 2026), and its environmental and biological sciences research is internationally recognised, giving this programme strong credibility with employers and research institutions.

Experiential Learning (Research, Projects, Internships etc.)

On this programme, you’ll actively learn by doing. Rather than just memorising techniques, you’ll work directly with real datasets and modern analytical tools while exploring the intersection of data science with ecology, evolution, conservation and biodiversity — all within a vibrant research‑led environment. The curriculum is hands‑on from the start: you’ll build core skills in data science, develop them through interdisciplinary problem solving, and culminate your studies in an advanced project where you design, implement and communicate your own data‑driven investigation. The degree is delivered at the Penryn Campus, co‑run with the Environment and Sustainability Institute and the Centre for Ecology and Conservation, connecting you with ecological research communities and data‑rich projects throughout your studies.

Here’s how experiential learning unfolds in this degree:

Practical & Experiential Features of MSc Applied Data Science (Ecology and Evolution)

Advanced Data Science & Modelling Project: In Term 3 you’ll complete a major independent research project where you apply your data science and modelling skills to a real ecological or evolutionary problem gaining research experience that mirrors professional practice.
Interdisciplinary, Inquiry‑Led Module: The Tackling Sustainability Challenges using Data and Models module embeds you in real sustainability issues, working in teams and using computational methods to create solutions.
Cutting‑Edge Software & Tools: You’ll develop core competence with modern data science tools and state‑of‑the‑art analytical software (e.g., Python, R and AI methods) through modules like Fundamentals of Data Science and Trends in Data Science and AI.
Ecology & Evolution Focused Practice: Dedicated modules such as Evolutionary and Behavioural Ecology: Frontiers and Approaches provide domain‑specific experience analysing real biological systems and datasets.
Optional Applied Modules: Choose from optional units like Preparing for Ecological Consultancy, Marine and Coastal Social‑Ecological Systems, or Ecological Responses to Climate Change to tailor your skills toward specialist applied contexts.
Collaborative, Interdisciplinary Environment: You’ll become part of Exeter’s Graduate School of Environment & Sustainability, where cross‑disciplinary collaboration with peers in environmental sciences, biology, and economics enhances your analytical experience.
Engagement with Research Communities: You’ll be taught and supported by researchers active in environmental and ecological data science, with exposure to seminars and research discussions that keep you on the frontier of real‑world problems.

Progression & Future Opportunities

Graduate outcomes summary: This MSc equips you with advanced data science, modelling and analytical skills applied to ecology, evolution and environmental systems, opening doors to careers where data informs decision‑making for sustainability and conservation. Typical roles include Environmental Data Scientist, Ecological Modeller, Conservation Analyst and Research Associate:

Progression & Future Opportunities:

University employability support: Exeter’s Career Zone gives you one‑to‑one career coaching, CV and interview preparation, networking events and industry links to help you secure roles in applied data science or environmental organisations. Employment relevance & market demand: The UK has a strong and rapidly growing data analytics sector, with demand for professionals who can interpret complex datasets increasing across environmental, public‑sector and private sectors.
Interdisciplinary experience with partners: You’ll study in collaboration with the Centre for Environmental Mathematics and the Centre for Ecology and Conservation, gaining interdisciplinary exposure that’s valued by employers working on biodiversity, conservation and sustainability challenges.
Long‑term qualification value: You’ll build expertise in data science, AI methods, modelling and sustainability analysis, skills that are highly transferable across sectors including research institutes, environmental consultancies and government agencies.
Graduate outcomes: Graduates often move into roles where they apply data‑driven solutions to ecological and evolutionary problems for example analysing biodiversity datasets, modelling ecological trends or supporting conservation policy decisions.

Further Academic Progression:
After completing this MSc, you could pursue doctoral research (PhD) in areas such as ecological modelling, biodiversity informatics, environmental data science or computational biology, which prepares you for advanced research or academic roles. Alternatively, this degree also provides a strong foundation for professional qualifications in data science, AI or sustainability analytics that further enhance your career and leadership opportunities.